Hi Lakotah,
a. Use the General Addition Rule:
P(A or B)= P(A) + P(B) - P(A and B)
A=Junior
B=Off-Campus
P(A)= 3546/24606
P(B)= 12452/24606
P(A and B)= 2535/24606--look at cell in row 2, column 3
P(A or B)= (3546/24606) + (12452/24606) - (2535/24606)
I will leave that computation to you.
b. Look at cell in first row, fourth column. That is the cell for seniors living on campus. Divide by total sample size 24606:
2885/24606 = 0.1172
c. This is Bayes' Theorem:
P(A given B)= P(A and B)/ P(B)
A=Freshman
B=Live on Campus
P(A) = 6914/24606
P(B)= 12154/24606
P(A and B) = 4370/24606--look in row 1, column 1.
P(A given B)= [4370/24606] / [12154/24606]
You can do those computations, and you will have the probability that student is a freshman given that they live on campus.
d. This is the Complement Rule aka the One Minus Trick:
P(AC)= 1 - P(A)
A=Student is a senior
AC=Student is not a senior
P(A)= 5537/24606
P(AC)= 1-[5537/24606]
Do that computation, and you will have the probability of a non-senior in the sample.
e. Here, we just read the table. The total number of students who live on campus is 12154. The number of juniors who live on campus is 1011 (Row 1, column 3). So divide:
P= 1011/12154 = 0.0832
Now, we want a percent, so we multiply by 100:
P = 8.32%
I hope this helps.